3924 jobs found

About Zip Zip is the AI platform for enterprise procurement - built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world's most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they've saved over $8 billion and processed over $500 billion in spend. Zip's team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups. Your Role This is a founding role. You will be the first Enterprise Architect on the ground in EMEA, standing up the function end-to-end: the playbooks, the reference architectures, the technical discovery motion, and the deal patterns that every future EA will inherit. You'll personally engage on our most strategic pursuits across the business - Fortune 500 and FTSE 100 prospects with SAP-dominant landscapes, complex multi-entity structures, and e-invoicing mandates that don't exist in other regions. You'll work directly with the Global SE leader and partner with Sales, Solution Engineering, Product, and Customer Success leaders. What you build here will shape how Zip sells and delivers across Europe for years. Please note this is a hybrid role out of our London office. What you'll do Win the deals that define the region: Act as the senior technical voice on strategic pursuits - leading discovery with customer CTOs, CIOs, and Chief Procurement Officers, and closing the architectural gap between their landscape and Zip. Build the EA function from zero to one: Create the foundational assets - customer system landscape templates, reference architectures, integration capability matrices, security & compliance packets, objection response libraries - and set the bar for how EA shows up in deals. Own the system integration narrative: Lead the technical story on how Zip integrates with SAP (ECC, S/4HANA, Ariba), Oracle, Workday, Netsuite, Coupa, and adjacent systems. You are responsible for translating the customer landscapes into credible integration plans using our proprietary middleware. Navigate EMEA-specific complexity: Guide customers through e-invoicing mandates (Peppol, France Chorus Pro, Italy SDI, Germany's B2B mandate), GDPR, DORA, and multi-entity/multi-currency rollouts. Bridge GTM and Product: Translate customer requirements into clear product inputs. Influence roadmap prioritization with evidence, not opinion. Enable the field: Coach Solution Engineers and Account Executives on technical positioning, objection handling, and executive-level architectural conversations. Qualifications 15+ years in solution architecture, enterprise architecture, pre-sales engineering, or product roles at B2B SaaS, iPaaS, or ERP / system-of-record vendors. Deep domain knowledge: Knowledgeable about the full intake-to-pay lifecycle and how data moves between systems Strong command of the ERP ecosystem: You understand APIs, data models, and integration patterns across SAP(Ariba, S/4HANA, ECC), Oracle, Workday, Coupa, Ivalua, Jaggaer, and others. Hands on fluency with integration architecture and middleware: iPaaS (MuleSoft, Boomi, Workato), REST APIs, event driven patterns, ETL. Proven success selling into or implementing at Fortune 500 / FTSE 100 customers across multiple EMEA geographies. TOGAF/Zachman/IBM Certified along with EA. Track record of owning RFPs, security reviews, and PoCs at enterprise scale. Comfort operating as the senior technical voice in a room with CIOs, CFOs, and CPOs. Nice to have Experience standing up a function, team, or regional practice from the ground up. Working knowledge of EMEA e invoicing mandates and regulatory regimes (GDPR, DORA) Experience at a category defining, high growth SaaS company or Big 4 Consulting Experience. Multilingual - French, German, or Spanish a plus. Perks & Benefits At Zip, we're committed to providing our employees with everything they need to do their best work. Start up equity Health, vision & dental coverage Catered lunches & dinners for in office employees Commuter benefit Team building events & happy hours Unlimited PTO Apple equipment plus home office stipend 5% Employer Pension Contribution Travel This role requires approximately 30% travel across EMEA to meet with strategic prospects, customers, and partners, and to join key industry events. We're looking to hire Zippers and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!

Our mission Scope is revolutionising the way physical data is captured. We're building the best AI-native data collection layer for the 2 billion field workers on the front line of inspection. Along the way, we're building the world's largest dataset on the condition of the built world and the decisions experts make about it. It's a $2T market and we're just getting started. We have grown revenue 10x in the last year and on track to reach 10M ARR in 2026. Our customers inspect facilities and products for companies including AstraZeneca and SpaceX. We've assembled a best-in-class team: people from institutions like Imperial, Carnegie Mellon and Oxford, and from firms like Goldman Sachs, Flexport and Amazon. Since launching from Entrepreneurs First in 2024, we've raised $24m in funding from Susa Ventures and Index Ventures (backers of Figma, Revolut and Wiz - 100+ unicorns to date). About the role As a Technical Lead, you will be a core driver of both our technology and our product strategy. You won't just be handed tickets; you will own an entire product and domain area end to end. You will act as a force multiplier shaping our technical architecture, connecting it tightly to our business goals, and aligning multiple engineers around a coherent vision. We're looking for an exceptional technical leader who wants to invent what inspection software should look like in a post-AI world. What you'll do Drive Technical Evolution: Own the long term technical strategy of your domain. You will define how our systems should evolve over time, identifying and resolving structural limitations long before they impact production. Simplify Complex Systems: Design systems that solve incredibly complex backend and AI challenges but remain simple, adaptable, and widely understood by the team. You will ruthlessly remove accidental complexity across the codebase. Bridge Architecture & Strategy: Connect our technical architecture directly to Scope's product and business goals. You will balance ideal architecture with real world startup constraints exceptionally well. Coach and Mentor: Actively mentor and grow the engineers around you, upleveling the team's technical capabilities, fostering a culture of high craftsmanship, and guiding peers through complex technical challenges. Multiply the Team's Impact: Align multiple engineers around a coherent technical direction. You will introduce design patterns and technical defaults that up level the entire engineering organisation. Own a Product Domain: Act as the strategic owner of a core product area, making it a competitive advantage for Scope. You'll build a deep, continuous intuition for our users, understanding their workflows better than anyone else. Build for the Future: Think in compounding strategies rather than isolated features. You will anticipate the second order effects of architectural decisions to ensure our systems are built to be easily changed, not just correct today. Who you are We believe great teams are made up of highly agentic "managers of one." You should apply if you are deeply technical, love staying close to the code, and thrive when given absolute ownership of problems. Experienced: You have 7+ years of experience (with a track record of leading technical direction) and have built up enough scar tissue to inherently know which technical decisions matter and which don't. Product Minded: You care deeply about metrics, users, and data. You don't just build what is asked; you define what matters in a domain and set meaningful metrics to measure success. A Natural Leader: You lead by example and through influence. You enjoy mentoring other engineers, driving alignment on complex architectural shifts, and shipping high-quality results. AI & Data Enthusiast: You are excited to engineer how we feed context to AI models (storing, fetching, and selecting standards) and want to design how unstructured data seamlessly flows through a reliable, enterprise-grade system. Compensation and benefits Competitive base salary (benchmarked against top Series A startups) + meaningful equity Visa sponsorship available - We welcome top talent globally and will support the visa process Dinners + team lunch on Fridays paid for by Scope Top tier equipment, software, and tools to give you maximum leverage Private Healthcare

Lead Data Engineer (Azure Databricks Fabric PySpark SQL) Permanent Hybrid UK Public Sector Project Overview We are seeking a hands on Lead Data Engineer to join a growing Data & Analytics practice. This role focuses on designing, building, optimising, and maintaining enterprise level data solutions. You will work across the full data lifecycle, delivering scalable, high performance solutions using Azure and tools such as Databricks and Fabric. Who We're Looking For A strong Data Engineer with deep technical expertise in Azure, Databricks and Fabric, who enjoys working in a collaborative, client facing environment and thrives at designing and delivering enterprise level data solutions, spanning initial requirements gathering, proof of concept development, architecture planning, deployment and delivery. Key Responsibilities Develop solutions using Azure Databricks and/or Fabric Implement Medallion Architecture (Bronze, Silver, Gold) Develop data warehouse and lakehouse solutions Support BI, analytics, and AI workloads Optimise performance, cost, and reliability Collaborate with technical and functional stakeholders Mandatory Requirements Proven ability to make both high level strategic and day to day operational decisions with confidence Strong leadership and interpersonal skills, with a track record of motivating and influencing stakeholders at all levels Sharp analytical mindset with the ability to proactively spot emerging opportunities and resolve challenges before they escape Strong hands on experience with Azure Databricks and Fabric Strong SQL and data warehousing expertise Experience with data modelling Experience with Databricks AI/BI or Power BI Experience with CI/CD and DevOps practices Desirable Experience in consulting / professional services Exposure to AI and advanced analytics solutions Exposure to Agentic AI systems built on top of Large Language Models Experience with real time / streaming data Experience with Infrastructure as Code (Terraform or Bicep) Experience in regulated industries Passionate about staying at the forefront of industry developments, with a habit of actively monitoring emerging trends, tools, and technologies Databricks/Microsoft Azure certifications Soft Skills Strong problem solving skills Collaborative and team oriented mindset Clear communication and documentation skills Ability to work in fast paced delivery environments Contract Details Role Type: Permanent & Hybrid (2 days per week) Location: Guildford Clearance: Candidates must be eligible for UK Security Clearance (SC) or active SC

About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We're Looking For We're opening an office in London, UK and looking for AI Engineersto design and deploy production grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting edge AI. You'll build and ship real world AI applications - from intelligent agents to full stack AI products - and see them operate at scale in mission critical environments. This role is highly hands on. You'll collaborate closely with customers, define system architectures, and build reliable, high impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state of the art models, generous usage of modern AI tools, and real world business problems Ownership of high impact projects across top enterprises A mission driven, fast moving culture that prizes curiosity, pragmatism, and excellence

Are you passionate about transforming how developers build, deploy and operate software? The company is looking for a Developer Experience & Platform Engineering Solution Architect to join our growing Cloud & Apps Practice, helping some of the UK's largest public and private sector organisations modernise software delivery through Platform Engineering, Internal Developer Platforms (IDPs), DevOps and Developer Experience (DevEx) best practices. As a senior member of our Cloud & Apps Practice, you'll work at the intersection of technology strategy, architecture and delivery, partnering with customers to design and implement modern engineering platforms that improve developer productivity, accelerate delivery and enhance operational resilience. What you'll do Lead customer engagements focused on Developer Experience, Platform Engineering and enterprise software delivery transformation Design and architect Internal Developer Platforms (IDPs), CI/CD pipelines and cloud-native engineering platforms at scale Facilitate workshops with engineering leaders, product teams and platform stakeholders to define target architectures, operating models and delivery roadmaps Translate complex business and technical challenges into clear, implementable platform and DevEx solutions Provide end-to-end technical leadership across pre-sales and delivery engagements, from discovery through to implementation assurance Support sales teams with opportunity shaping, bid responses, solution design and commercial proposal development Define reusable patterns, reference architectures and engineering standards across the Cloud & Apps Practice Research and experiment with emerging tools, technologies and practices to evolve our Platform Engineering and DevEx offerings Lead and mentor consultants and architects, ensuring high-quality delivery across multiple customer engagements Ensure solution quality through design assurance, technical governance and risk identification across multi-technology environments What you'll bring Platform Engineering and Internal Developer Platforms (IDPs) Developer Experience (DevEx) and DevOps transformation Kubernetes (AKS, EKS, OpenShift) CI/CD tooling including GitLab, GitHub Actions, Jenkins or Harness Infrastructure as Code (Terraform or equivalent) Backstage or similar developer portal technologies Observability, monitoring and developer feedback platforms Secrets management and identity solutions such as HashiCorp Vault Progressive delivery, release orchestration and modern deployment practices You'll be comfortable engaging with senior stakeholders, leading technical teams and translating business challenges into practical, scalable engineering solutions

REQ ID: FEQ327R160 Location:London, UK Recruiter: Dina Hussain At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world class, cross functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. Contribute to Databricks' technical community engagement by developing customer facing collateral and leading workshops, seminars, and meet ups. Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for Know how to engage in complex customer interactions and sales lifecycle in a technical pre sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice. You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments. Ability to influence influential decision makers and C level executives through developing relationships and orchestrating teams to achieve long term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands on expertise with complex proofs of concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel to London offices and customer site About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Join Tether and Shape the Future of Digital Finance At Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting edge solutions empower businesses- from exchanges and wallets to payment processors and ATMs-to seamlessly integrate reserve backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that's just the beginning: Tether Power Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco friendly practices in state of the art, geo diverse facilities. Tether Data Fueling breakthroughs in AI and peer to peer technology, we reduce infrastructure costs and enhance global communications with cutting edge solutions like KEET, our flagship app that redefines secure and private data sharing. Tether Education Democratizing access to top tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We've grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI driven initiatives powered by QVAC, Tether's SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments. This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout. Responsibilities Client & Partner Engagement Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution. Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy preserving architectures). Support Expansion team in shaping AI related opportunities by providing input on feasibility, integration complexity, and delivery approach. Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies. Implementations Oversight Lead end to end coordination of QVAC based implementations from kickoff through production deployment. Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers. Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning. Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments. Cross functional Coordination Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution. Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments. Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints. Maintain structured communication flows across all stakeholders involved in the implementation lifecycle. Governance & Reporting Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs. Produce executive level updates summarizing progress, risks, blockers, and next steps. Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects. Support escalation management and ensure timely resolution of technical or operational challenges. Core Experience 5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments. Proven experience managing cross functional implementations involving multiple stakeholders (internal teams, clients, external partners). Strong ability to operate at the intersection of technical and business domains. Technical Understanding Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures. Understanding of APIs, SDK integrations, and system architecture patterns. Ability to engage in technical discussions with engineering teams while maintaining business level clarity with clients. Communication & Execution Strong communication and stakeholder management skills, including experience working with enterprise or government entities. Structured approach to project tracking, documentation, and governance. Ability to manage ambiguity and operate in fast evolving, early stage environments. Nice to Have Experience with decentralized technologies, blockchain, or privacy preserving systems. Exposure to AI infrastructure tooling or MLOps workflows. Experience in regulated industries or public sector projects. Basic familiarity with programming or scripting environments (Python, APIs, CLI tools). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: Verify the recruiter's identity. All our recruiters have verified LinkedIn profiles. If you're unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double check email addresses. All communication from us will come from emails ending We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

The Login Platform group covers all aspects of user authentication and experience across Terminal and Enterprise (non-Terminal) workflows. This includes teams that manage the company's Single Sign-On (SSO), Multi-Factor Authentication, user login experience, and the sessions platform used to propagate authentication and authorization context throughout the the company ecosystem. Sessions are the backbone of authorization decisions across the company. They are created from entry points including the Terminal, Mobile, Enterprise applications, Web, and more. These sessions need to include the correct entitlements, customer data, and security context so that application teams can make the accurate entitlement decisions. Whenever you access any data in the company, the information that determines what you can do and what data you can access flows through our systems! We're evolving our session and authorization infrastructure to support AI agents, MCP-based integrations, and machine-to-machine workflows across the company systems. We are hiring Senior Software Engineers for two closely related teams in London focused on session infrastructure and session lifecycle management. Where we sit We're part of Login Platform within the Platform Security organization, operating deep in the infrastructure stack. Our teams own the framework that orchestrates sessions enrichment flows, while data-owning teams provide and manage the underlying datasets. Almost every business unit at the company depends on our platform to make authorization and access-control decisions. Our software is critical to maintaining the company's reliability, compliance, and continued growth. Because of our position in the stack, we enforce security not only for others, but for ourselves as well. What you'll do As a Senior Software Engineer, you'll play a key role in shaping and scaling the infrastructure that powers session creation, enrichment and authorization across the company. You will Design, build, and optimize low-latency, multi-threaded backend systems that handle session and authorization data at scale. Collaborate with multiple Engineering and Product teams to deliver a reliable and secure login experience. Contribute to architectural decisions and long-term technical strategy for the Login Platform. Improve tooling, observability, scalability, and performance across critical infrastructure services. Explore and champion new ideas to evolve our systems responsibly over time. Engineers on the team are involved throughout the software lifecycle, including design, deployment, observability, incident response, and long-term platform evolution. Our technologies We work primarily in C++ and some Python, running mostly on Linux, with continued support for Solaris clients until full migration is complete. Because we sit deep in the infrastructure stack, you'll often need to balance innovation with compatibility, designing modern, robust solutions that coexist with legacy systems. You'll need to have Strong software engineering experience in C++, ideally building backend, infrastructure, platform, or systems-level software. Experience designing, building, or operating distributed backend systems, ideally in high-availability, low-latency, or infrastructure-heavy environments. Strong experience designing and building multi-threaded or concurrent applications. Experience owning software across the full lifecycle, including design, implementation, testing, deployment, observability, incident response, and long-term evolution. Ability to make pragmatic system design decisions across performance, scalability, reliability, maintainability, and compatibility constraints. An eagerness to understand a large, non-trivial stack and propose incremental improvements without compromising reliability or security. Strong communication and collaboration skills, with the ability to work effectively across Engineering, Product and platform-dependent teams. A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience. We'd love to see Background in authentication, authorization, identity, access control, entitlement systems, SSO, MFA, session management, or security-sensitive infrastructure. Familiarity with systems that propagate authentication, authorization, entitlement, or security context across distributed services. A track record of building low-latency, reliable backend or infrastructure services. Hands on involvement in improving observability, scalability, performance, reliability, or operational tooling for production systems. Exposure to platform teams that support multiple internal product or application teams. Experience working across multiple business units or products, with an understanding of their operational and integration challenges. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes the company unique - watch our podcast series for an inside look at our culture, values, and the people behind our success. Accommodations The company provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER\ (Americas), EMEA\ (Europe, the Middle East and Africa), or APAC\ (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application. Equal Opportunity The company is an equal opportunity employer and prohibits discrimination in employment. It is the company's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a "Protected Characteristic"). The company prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.

As one of the world's largest networks of audit, tax and consulting firms, the company delivers big ideas and premium service to help middle-market businesses thrive. We're a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then the company is the place for you. Purpose As a senior and experienced Workday Build, Extend, Prism Developer you will own the design, governance, delivery of enterprise-grade Workday solutions across the platform. Working with the product development, functional experts, change and architecture teams you will develop client centric, scalable and secure solutions, ensuring on-time delivery in a demanding and deadline driven environment, whilst embedding robust governance, security and change management practices that de-risk the business. The role operates in the intesection between technology, architecture, and operations and you will act as a trusted advisor & inflencer to senior stakeholders, functional teams and other subject matter experts as part of their decision making. Mentoring and developing the skills of the internal Workday team and pushing the boundaries of the platform capabilities. Responsibilities End to end design and delivery of workday solutions across Build, Extend, Prism, and associated Orchestrations Translate complex business requirements into secure, scaleable, client centric solutions - provide clearly articulated solution options, trade-offs and risks. Embed RSMs SDLC governance framework and stablish consistent data models, UI, workflows, AI development, and integration methodologies. Ensure all solutions adhere to the enterprise change management and release framework. Apply security architecture with product and solution design (domains, roles, access models and segregration of duties). Ensuring that soltions are designed with a security-first principles with appropriate auditing and gateway protections. Operate effiectively within a fast paced, deadline drive delivery model, managing competing priorities and stakeholder expectations. Drive speed to value whilst maintaining quality and control discipline Lead complex initiatives including multi-source, orchestration and advance platform capabilities. Qualifications Must-Have 2+ years hands-on Workday development (or 4+ years Workday ecosystem) 5+ years of software development experience including Web apps. Strong grasp of Workday data model, security, business processes, custom objects/orgs, calculated fields, and reports/RaaS. Demonstrated delivery of production apps (portfolio or walkthroughs at interview). Proficiency with REST APIs and Workday Integration patterns (EIB, Studio, Core Connectors). Solid understanding of SDLC, peer reviews, and test strategies. Experience training or mentoring developers/analysts; ability to produce clear enablement assets. Excellent communication, stakeholder management, and documentation skills. Nice-to-Have Whole platform domain exposure including FIN/HCM/Payroll/Security -e.g., approvals, exceptions, vendor onboarding, expense governance, journals, controls, agentic AI and machine learning, lifecycle. Experience in AI product development. Familiarity with Workday BIRT, Workday Reporting (advanced), Time Tracking. Scripting experience (e.g., JavaScript/TypeScript, Python) for tooling and documentation automation. Knowledge of privacy & compliance (GDPR, SOX, ISO27001) and secure coding practices. Education & Certifications Computer Science, Information Systems, Engineering or equivalent experience. Workday certifications (HCM/FINS/Integrations/Reporting/Extend/Build/Prism) strongly preferred. Accounting qualification or relevant experience. Diversity and Inclusion At the company, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.

A leading consulting firm in the UK seeks an Enterprise Architect Manager to lead enterprise architecture initiatives and transformation programs. This role requires strong expertise in architecture domains, stakeholder management, and a passion for leveraging emerging technologies. Candidates should possess relevant industry certifications and be adept at managing complex change. The position involves considerable mobility, ensuring effective client engagement and delivery of tailored solutions.

Schroders is searching for a Platform Architect to lead the technical strategy and architecture for their Investment Technology platform. The role requires deep knowledge of platform technologies and investment flows, and emphasizes collaboration across global teams to deliver scalable, high-performance investment capabilities. The successful candidate will merge strategic thinking with practical decision-making, ensuring alignment with enterprise standards and driving continuous improvement within the platform ecosystem.

Senior Cloud Solutions Architect Director We are looking for a highly motivated, driven and passionate Cloud Solutions Architect to lead, manage and deliver solutions across the Barings portfolio. The primary responsibility of the Cloud Solutions Architect is to define and provide cloud and hybrid solutions to meet business requirements. You will partner with business application teams as well as technical and security services teams to describe and ensure alignment to Barings' agreed strategy, policies, principles, and patterns. Responsibilities Act as an incubator for modernization of application, technical and security services through adoption of cloud-native solutions. Partner with Enterprise Architecture to implement a highly scalable, automated, and available cloud platform, aligned with the future state cloud-first strategy and architecture. Define and document cloud service security baselines that align with modern security frameworks (CIS, CSA, ISO27001, etc.). Define and document repeatable cloud service patterns. Drive adoption and migration from traditional technology platforms to public cloud services. Recommend tools and methodologies to support Cloud Platform operations and implement SRE practices and team as part of the Digital transformation process. Partner with Development teams, Cyber Security, Support and Enterprise Architecture teams to deliver and maintain a cloud platform with associated DevOps practices. Break large complex systems into manageable subsystems and components, each of which can be managed by individuals or teams in a scalable manner. Ensure systems and application have efficient and actionable monitoring with SLO aligned with business goals. Qualifications and Requirements Expert knowledge of Microsoft Azure products and capabilities. Proven experience with all aspects of Cloud service models and application delivery such as PaaS, Serverless and Containerization infrastructure. Proven experience designing solutions in a hybrid environment. Proven experience in building fault tolerant, scalable, and secure systems. Proven experience working in DevOps teams within a mission critical environment. Working experience in Agile methodologies and have actively managed scrums. Experience with CI/CD, Infrastructure-as-Code management and governance. Passionate about innovation and leading technological change. Passionate in creating a collaborative, caring and safe environment for all teammates to succeed. Preferred / Nice to Have Skills Experience designing large scale data platforms. Experience designing AI and machine learning platforms. Experience designing container platforms. Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.

Jobr.pro is seeking an AI Engineer to design and deploy production-grade AI systems powered by LLMs. You'll work directly with Fortune 500 companies to transform complex workflows and build real-world AI applications. This role is hands-on and involves defining system architectures and deploying reliable, high-impact AI systems. Applicants should have 3+ years of software engineering experience with strong Python or TypeScript skills. Benefits include a competitive salary, equity, and a comprehensive benefits package.

Applied Engineer (Tribal Knowledge) Design and own the agent system that compiles an organization's tribal knowledge London / SF Full-time Engineering About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As an Applied Engineer at Pavo, you will design and own the agent system that compiles an organization's tribal knowledge - the body of knowledge that nobody has written down - from its own evidence: source code, structured data, internal documents, and conversations. You'll work hands-on at the level of agent architecture, pipeline design, and the production surface that turns a generative system into one customers can depend on. You'll partner closely with the Applied Scientist on instrumentation - but the system itself is yours. It is the most consequential thing we build, and idea to production is days. This is a senior, individual-contributor role. Everyone on the team joins as a Member of Technical Staff - with the scope, autonomy, and end-to-end ownership that title implies. What You'll Build Hierarchical Agent Architecture: Design how a main agent coordinates sub-agents, tools, and skills - deciding where deterministic scaffolding beats prompting and where prompting is the right tool. This decomposition is the single biggest determinant of whether a generative knowledge system is dependable. The Synthesis Pipeline: Own the multi-stage system that turns heterogeneous private evidence into a verifiable knowledge artifact - with the checkpoints, retries, fallbacks, and structured outputs that production reliability requires. Deployment & Rollout: Build scheduled regeneration, quality and reliability gates, blue/green rollout, and customer-facing version control of compiled knowledge artifacts. Treat each release with the seriousness it deserves. Observability & Debuggability: Structured traces of agent runs, replay/debug tooling, cost and latency budgets, and regression detection on releases. A multi-stage agent run must be debuggable by someone who didn't initiate it. Reliability as a First-Class Property: Treat run-to-run variance as a defect class equal to incorrectness, and build the engineering practice that reduces it. Eval & CI Infrastructure: Reproducible, automated evaluation that feeds signal back into the deploy loop - complementary to the experimental harness on the science side. What We Are Looking For We are looking for an engineer who has shipped dependable production systems and is hungry to do it at the edge of what current agentic frameworks can do. Core Qualifications Senior Track Record: 8+ years building and operating production systems, including a stretch where you owned a major system or platform area end-to-end and were the engineer others came to for the hard problems. Production Engineering Chops: You ship Python systems that other engineers want to extend; you write tests that catch real bugs; you have opinions about structure, dependency boundaries, and what belongs in a library versus an application. Hands On with an Agentic Framework: Depth with at least one - Anthropic tool use, OpenAI Agents SDK, Pydantic AI, LangGraph, AutoGen, or equivalent - including its sharp edges, not just its happy path. We have no preference for which; we strongly prefer that you've been bitten by one. Strong Opinions on Agent Architecture: When to use a single-context agent versus decompose into sub agents. Where deterministic code beats prompting, and how to tell which before the third refactor. What a tool is, what a skill is, and where the line is. Deployment Pipelines for ML/LLM Systems: Experience designing and operating rollout, gating, observability, on call posture, and regression detection. Comfort with Reliability Work: The unglamorous work that turns a flaky agent into a dependable one - async Python, structured outputs, retries with sensible idempotency, and the long tail of "why did this run produce a different answer." Pragmatism About Prompts: A hard won sense of what's prompt tunable and what isn't. You've earned this opinion at least once. Preferred Qualifications Built or maintained an LLM evaluation harness in production. Familiarity with retrieval / IR systems and the engineering of large-context pipelines. Distributed systems background - workflow engines (Temporal / Airflow / Prefect), queues, and observability stacks (OpenTelemetry, Datadog, Honeycomb). Open source contributions to agentic frameworks, eval tooling, or workflow orchestration. Why Join Us Architecture Defining Work: The system you design becomes the substrate for everything we ship downstream. Short Loop: Work directly with the Applied Scientist on instrumentation and with the founders on platform direction. Idea to production is days. Real Ownership: Genuine ownership in a small, technically deep team. Your name will be on the system. Foundational Space: The private knowledge layer will reshape how AI agents operate inside organizations; the engineering problems sit at the edge of what current agentic frameworks can do well. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are seeking a hands on high calibre architect for our Investment Technology platform who combines strategic thinking covering both business and technical architecture disciplines within a front office orientated global asset management technology environment. The Platform Architect is responsible for the end to end technical strategy, architecture, standards, and roadmap for one or more technology platforms. This leadership role demands deep knowledge of current and emerging platform technologies and end to end business flows covering Investment / front office capabilities. The Platform Architect ensures platforms are designed and evolved for consistency, scalability, convergence, and alignment to enterprise technology strategy-enabling business outcomes across all domains. About Schroders We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 5,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. The base We moved into our new HQ in the City of London in 2018. We're close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly. The team The Asset Management Platform (AMP) is a global technology change and delivery organisation responsible for delivering the platforms that underpin Schroders' investment, client and operational capabilities. AMP brings together a set of business aligned technology platforms-including Client, Investment, Group Operations, Data and Finance-into a single, integrated asset management capability, enabling consistent, scalable and value driven outcomes across the firm. Operating within a platform centric model, teams are aligned to business outcomes while leveraging shared enterprise capabilities across architecture, data, engineering and delivery to drive standardisation, reuse, and speed of execution. The Platform The Investment Platform is a core domain within the Asset Management Platform, supporting the full front office lifecycle from research, quantitative analysis and investment solutions through to portfolio construction, order generation and trading. Operating as a business aligned, outcome driven platform, it brings together integrated teams, shared data and standardised engineering and delivery practices to enable scalable, high performance investment capabilities. As part of a broader, enterprise Asset Management Platform strategy, the Investment Platform plays a critical role in harnessing data and AI, simplifying the technology landscape, and delivering the tools and insights that underpin investment decision making across the organisation. What you'll do Platform Ownership: Own platform architecture, technical standards, and patterns-ensuring alignment to enterprise overall strategy. Technical Leadership: Provide hands on leadership and deep expertise in specific technology platforms (e.g., cloud, data, integration, security). Platform Roadmap: Develop, maintain, and communicate platform roadmaps aligned to business and technology objectives. Standardisation and Convergence: Drive platform standardisation and convergence across technology pillars and business domains. Continuous Improvement: Enable continuous evolution and improvement of the platform ecosystem, ensuring platforms remain secure, resilient, and performant. Cross Team Collaboration: Work closely with domain architects, business stakeholders, and the Enterprise Architecture team to ensure platforms meet current and emerging needs, align with enterprise direction, and support business strategy. Architectural Governance: Contribute to standards, principles, governance, and the architectural community at the platform level. Consultation: Provide technical input and guidance to business led projects and domain architects. The knowledge, experience and qualifications you need Proven experience as a Platform, Domain or Enterprise Architect within a complex, large scale technology environment, ideally within asset management or financial services Strong understanding of front office investment capabilities, including research, quant, portfolio construction, order generation and trading workflows Demonstrable experience defining and delivering platform strategies, target architectures, standards and roadmaps, with clear alignment to business outcomes Direct experience with Aladdin or equivalent front office investment platforms, with a strong understanding of how such platforms integrate across the investment lifecycle and wider technology estate Deep knowledge of modern architecture principles, including event driven architecture, API led integration, cloud native design and data centric platforms Experience operating within platform centric operating models, driving standardisation, reuse and convergence across multiple domains and teams Strong understanding of data platforms and data architecture, with experience leveraging data to enable advanced analytics and AI driven capabilities Proven ability to establish and enforce architecture governance, standards and assurance, working within enterprise guardrails and contributing to broader architecture communities Ability to translate complex business strategy and investment domain requirements into clear, scalable technology architecture and design decisions Hands on technical depth with the ability to engage credibly with engineering teams and influence solution design and delivery Experience working across multiple technologies, vendors and third party platforms, including managed services and strategic vendors Strong stakeholder management skills, with the ability to influence senior business and technology leaders across global teams Proven track record of leading architecture for large scale, business critical transformation programmes What you'll be like The successful candidate will be a strategic and outcome driven architect, able to connect business priorities with clear, scalable technology direction. They will combine strong vision with pragmatism-defining long term platform strategy while making practical decisions that enable delivery at pace. With deep technical credibility, they will engage confidently across architecture, engineering and delivery teams, shaping solutions that are robust, aligned to enterprise standards and focused on delivering tangible business value. They will operate as a collaborative and influential leader within a complex, global environment, driving alignment across business and technology stakeholders. A strong advocate of simplification, standardisation and reuse, they will actively reduce complexity and drive convergence across the platform. Clear in their communication and accountable in their approach, they will take ownership for the platform's evolution, contribute to the wider architecture community, and continuously apply emerging technologies-particularly data and AI-to enhance investment capabilities and outcomes. We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought facilitated by an inclusive culture will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer: you are welcome here regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio economic background or any other protected characteristics About Us We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Job Info Job Identification 1597 Job Category Technology Posting Date 06/19/2026, 12:36 PM Job Schedule Full time Locations 1 London Wall Place, London, EC2Y 5AU, GB

Job Description We are hiring a Senior AI Enablement Engineer to help shape how software engineering teams adopt, use, and scale AI assisted development across the organization. This is not a traditional full stack role, and it is not a "prompt engineering" role. You will work at the intersection of software engineering, developer experience, AI tooling, platform standards, governance, and engineering enablement. You will build the paved roads that allow engineers to use AI tools safely and effectively: standards, reusable workflows, automation, evaluation approaches, observability, documentation, and internal platform capabilities. The goal is to make AI assisted engineering reliable, measurable, secure, and aligned with enterprise software delivery standards. You will work closely with engineering teams, platform teams, security, architecture, product, and AI stakeholders to turn AI adoption from isolated experimentation into a sustainable engineering capability. You Will Own and deliver AI enablement capabilities that improve how engineering teams use AI tools across the software development lifecycle. Design and build internal tools, workflows, templates, integrations, and automation that make AI assisted development safer, faster, and more consistent. Create and maintain engineering standards, guidance, and reusable patterns for AI assisted software delivery. Help teams adopt AI development tools responsibly, with clear expectations around verification, quality, security, and maintainability. Work with engineers and stakeholders to understand real delivery pain points and translate them into practical enablement solutions. Build or integrate capabilities around AI assisted coding, documentation, testing, code review, onboarding, and knowledge retrieval. Contribute to AI governance implementation by helping translate policy and security expectations into usable engineering workflows. Support observability and measurement for AI adoption, including usage insights, effectiveness, quality signals, and operational risks. Partner with platform, architecture, AppSec, and infrastructure teams to ensure AI tools are integrated safely into the enterprise environment. Coach and support engineers through workshops, documentation, demos, and hands on enablement. Operate with high autonomy in a fast moving area where ambiguity is expected and practical ownership is essential. AI & Engineering Enablement Mindset Strong interest in how AI is changing software engineering, developer workflows, and engineering productivity. Practical experience using AI development tools such as Claude Code, GitHub Copilot, ChatGPT, Cursor, or similar tools. Ability to distinguish between AI experimentation and production grade engineering practices. Strong belief that AI output must be verified, tested, reviewed, secured, and aligned with engineering standards. Comfortable working across technical implementation, team enablement, stakeholder communication, and operational rollout. Curious about areas such as AI agents, MCP, RAG, evals, prompt/workflow design, AI observability, and developer productivity measurement. The Impact You Will Have Help engineering teams adopt AI in a way that is practical, safe, and aligned with enterprise standards. Reduce inconsistent AI usage by creating clear workflows, reusable patterns, and trusted guidance. Improve developer experience by removing friction from common engineering tasks. Help establish measurable AI adoption practices across software engineering. Contribute to the next generation of AI enabled engineering capability within the Investor Services organization. Qualifications Required 8+ years of professional software engineering experience with strong ownership of complex systems, platforms, or engineering capabilities. Strong proficiency in TypeScript and modern JavaScript. Experience with modern frontend frameworks, preferably Vue.js 3, and scalable frontend architecture patterns. Experience working across frontend and backend boundaries, including APIs, integrations, services, and data flows. Strong engineering fundamentals: clean architecture, maintainability, automated testing, code reviews, CI/CD, and production readiness. Experience designing reusable technical standards, shared libraries, templates, platform tooling, or developer experience improvements. Ability to work with multiple engineering teams, understand their delivery challenges, and create practical solutions that scale. Strong written communication skills, with the ability to create clear technical guidance, onboarding material, and adoption documentation. Ability to operate in ambiguity, structure unclear problems, and move from discovery to delivery. Security conscious engineering mindset, especially when introducing new tools, automation, or AI assisted workflows. Preferred Experience with AI assisted development tools in real software delivery, not only experimentation. Experience building internal platforms, developer tooling, engineering productivity tools, or paved road capabilities. Experience with Node.js, Python, or another backend language. Experience with cloud based systems, preferably AWS. Experience with observability concepts such as logs, metrics, traces, usage telemetry, and operational dashboards. Experience in regulated or enterprise environments with strong governance, security, and release discipline. Experience with design systems, frontend platform standards, accessibility, and reusable UI patterns. Experience with knowledge retrieval, documentation systems, RAG style workflows, or internal engineering knowledge platforms. Experience designing lightweight evaluation approaches for AI generated outputs, automation, or agentic workflows. Experience coaching engineers, running workshops, or driving adoption of new engineering practices.

3004 Avanade UK Limited Company is seeking a Lead Security Architect in the UK to define and drive Microsoft Security offerings. This pivotal role involves collaborating with Enterprise customers to deliver cutting-edge security solutions. Key responsibilities include providing thought leadership, managing Microsoft Security offerings, and ensuring team capabilities. The ideal candidate will possess strong leadership skills, advanced security certifications, and experience in handling large-scale security transformations.